Triple

T16243030
Position Surface form Disambiguated ID Type / Status
Subject Empress Fang E394300 entity
Predicate familyName P18 FINISHED
Object Fang
Fang is a Chinese surname historically borne by various notable figures, including members of imperial and scholarly families.
E1201988 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Fang | Statement: [Empress Fang, familyName, Fang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fang
Context triple: [Empress Fang, familyName, Fang]
  • A. Fang
    Fang is a Bantu language widely spoken by the Fang people of Central Africa, particularly in Equatorial Guinea, Gabon, and Cameroon.
  • B. Fang
    Fang is a mysterious, dark-winged member of the avian-human hybrid "flock" and Max's closest ally and love interest in James Patterson's Maximum Ride series.
  • C. Fang
    Fang is Rubeus Hagrid’s large, cowardly boarhound (often called a dog) from the Harry Potter series.
  • D. Fang
    Fang is the mascot of the Saint John Sea Dogs, a major junior ice hockey team in the Quebec Maritimes Junior Hockey League.
  • E. Fang
    Fang is the surname of the eccentric performance-artist family at the center of Kevin Wilson’s novel and its film adaptation "The Family Fang."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fang
Triple: [Empress Fang, familyName, Fang]
Generated description
Fang is a Chinese surname historically borne by various notable figures, including members of imperial and scholarly families.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fang
Target entity description: Fang is a Chinese surname historically borne by various notable figures, including members of imperial and scholarly families.
  • A. Fang
    Fang is a Bantu language widely spoken by the Fang people of Central Africa, particularly in Equatorial Guinea, Gabon, and Cameroon.
  • B. Fang
    Fang is Rubeus Hagrid’s large, cowardly boarhound (often called a dog) from the Harry Potter series.
  • C. Fang
    Fang is a mysterious, dark-winged member of the avian-human hybrid "flock" and Max's closest ally and love interest in James Patterson's Maximum Ride series.
  • D. Fang
    Fang is the mascot of the Saint John Sea Dogs, a major junior ice hockey team in the Quebec Maritimes Junior Hockey League.
  • E. Fang
    Fang is the surname of the eccentric performance-artist family at the center of Kevin Wilson’s novel and its film adaptation "The Family Fang."
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24560060c8190ace4f4c0bd0d886d completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000edf64a88190a9dd0c591c742977 completed May 10, 2026, 4:51 a.m.
NEDg Description generation batch_6a00108174ac8190b3c421b115b7190e completed May 10, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_6a0010f40d6081909927e8281ab17580 completed May 10, 2026, 5 a.m.
Created at: April 10, 2026, 5:04 a.m.